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AWS Software / SaaS China

Kingdee

Enterprise Knowledge Search

Kingdee International Software Group (Kingdee), a global provider of enterprise management and cloud enterprise resource planning (ERP) solutions, serves millions of businesses worldwide in digital transformation.

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100 percent
100% accuracy achieved on complex queries after follow-up responses
2 months to complete generative AI feature deployment
7.4 million

Reported impact

Business outcome

Kingdee’s intelligent ticketing system has transformed ERP interactions by allowing users to complete tasks through natural language commands instead of navigating a complex interface. Common requests, such as submitting expense reports or applying for loans, can now be completed with simple inputs, significantly enhancing user experience and productivity.

  • Customer Experience
  • Productivity Improvement

Solution

Kingdee International Software Group (Kingdee), a global provider of enterprise management and cloud enterprise resource planning (ERP) solutions, serves millions of businesses worldwide in digital transformation. To meet the evolving demands of ERP systems, Kingdee developed two generative AI solutions powered by Amazon Bedrock : an intelligent ticketing system and a metrics analysis tool. Amazon Bedrock provided a selection of foundational models (FMs), customization options, and application integration features, giving Kingdee access to mainstream models for its global operations while maintaining enterprise-level security. Kingdee also implemented Amazon Bedrock Agents to develop generative AI applications capable of executing complex tasks across company systems and data sources.

Data flow

Data is stored in Amazon OpenSearch Service and processed by Amazon Bedrock Agents, Amazon Bedrock.

Solution architecture

5 components · 4 layers
  1. Compute
    • Amazon Bedrock Hosts the foundation models and generative AI application logic.
    • AWS Lambda Runs event-driven application logic and serverless processing tasks.
  2. Storage
    • Amazon OpenSearch Service Stores and retrieves indexed or vectorized content for search and RAG workflows.
  3. Serving
    • Amazon API Gateway Exposes application and AI services through managed APIs.
  4. Orchestration
    • Amazon Bedrock Agents Coordinates generative AI workflows across business systems, APIs, and knowledge sources.

Architecture clues

  • By integrating with AWS serverless services like AWS Lambda and Kingdee’s various databases, Amazon Bedrock Agents helped Kingdee rapidly implement generative AI in ERP software ap

Evidence from the source

Amazon Bedrock provided a selection of foundational models (FMs), customization options, and application integration features, giving Kingdee access to mainstream models for its global operations while maintaining enterp
Despite the powerful capabilities of ERP systems, they often present usability challenges, especially when users need to retrieve complex data or complete multi-step tasks, like processing expense claims or accessing det
Driven by a commitment to improve ERP usability and streamline complex processes with generative AI-driven interfaces, Kingdee selected Amazon Web Services (AWS) for its mature generative AI tools and reliable support.
Kingdee International Software Group (Kingdee), a global provider of enterprise management and cloud enterprise resource planning (ERP) solutions, serves millions of businesses worldwide in digital transformation.
Kingdee provides enterprise management and cloud-based ERP solutions, supporting millions of businesses worldwide.
To meet the evolving demands of ERP systems, Kingdee developed two generative AI solutions powered by Amazon Bedrock : an intelligent ticketing system and a metrics analysis tool.
Transparency Evidence & methodology 85/100 reference value · 87% confidence · 1 source

Review how this reference was scored and trace each normalized claim back to its documented source.

01

Scoring methodology

How scores are calculated

Customer Reference Value measures usefulness as a customer reference. Evidence Confidence measures the quality and traceability of available evidence, not independent verification.

Customer reference value85/100
  • Problem clarity20/20
    Measures whether the customer's operational problem is specific enough to compare.
  • Implementation depth20/25
    Rewards named components, data flow, integrations, and architecture detail.
  • Outcome specificity20/20
    Measures whether the reported benefit is concrete rather than a generic claim.
  • Quantified impact15/25
    1 metric describe measurable impact.
  • Deployment scale10/10
    Rewards evidence of a live or scaled deployment and meaningful integration scope.
Evidence confidence87%
  • Source authority20/25
    The main evidence is an official vendor-published customer story.
  • Claim traceability21/25
    10 of 12 key fields link to a named source.
  • Direct evidence20/20
    6 direct source quotes retained.
  • Date provenance8/10
    The publication date comes from publisher-controlled metadata.
  • Source transparency8/10
    1 source reference document publisher, URL, authority, retrieval, and supported fields.
  • Implementation specificity10/10
    Rewards source-backed components, data flow, quantified impact, and a specific outcome.
02

Traceability

Sources & provenance

Field coverage shows which facts each source supports. Dates are shown only when documented by the source.

  1. AWS

    Kingdee customer story

    First-party
    https://aws.amazon.com/solutions/case-studies/kingdee/
    Source type
    Vendor-published customer story
    Published
    Nov 18, 2024
    Supports
    • Customer
    • Business problem
    • Solution
    • Products
    • Solution components
    • Data flow
    • Integrations
    • technical area
    • use case category
    • Business outcome
    • outcome category
    • Metrics
    • Architecture
    • evidence quotes
    • Publication date

Date evidence

Not separately sourced Industry, Region, Company size. Treat these normalized attributes as lower-confidence until a dedicated source is added.

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